A prior learning and sampling model informed tool for learning with Single Cell RNA-Seq data
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Updated
Mar 7, 2018 - MATLAB
A prior learning and sampling model informed tool for learning with Single Cell RNA-Seq data
Mathematical modelling of microglial cells for the neuroscience community
Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.
Graduate Student Mathematical Modeling Camp
Repository of code and information developed for computational biology research at UGA
Simulating biochemical systems with input in Matlab
Command-line program and scheduled GitHub action for publishing the ModelDB model repository to BioSimulations
Computational modeling of the short term pattern of cellular responses to epidermal growth factor
The files in this repository reproduce all the simulations and graphs in the paper, Fofana & Hurford 2022, Parasite-induced shifts in host movement may explain the transient coexistence of high- and low-pathogenic disease strains, J Evol Biol.
Matlab code and data to reproduce results from "Reconstruction and Validation of a Genome-Scale Metabolic Model for the Filamentous Fungus Neurospora crassa Using FARM" by Dreyfuss, Zucker, et al.
"A quantitative principle to understand 3D cellular connectivity in epithelial tubes" Gomez-Galvez et al
Utilizes Markov Models to predict protein coding genes
Search for and find thermodynamic advantages for product synthesis using metabolic single-species community models
A computational oncology application that analyzes and presents 3D MRI data of tumor growth in rat brains.
This project aims at running Monte Carlo Simulations to simulate life on earth.
Software for inferring the intrinsic fitness landscape of poliovirus capsid protein (vp1) and comparing it with that of analogous proteins in HIV
FASTA Alignment search for BsaI and BsmBI restriction sites in the ORF6 protein to verify assertions made by Bruttel, et. al. in "Endonuclease fingerprint indicates a synthetic origin of SARS-CoV-2."
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